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Statistics for Business and Economics (13e)
Chapter 14, Part A: Simple Linear Regression
• Simple Linear Regression Model
• Least Squares Method
• Coefficient of Determination
• Model Assumptions
• Testing for Significance
© 2017 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or 2
otherwise on a password-protected website or school-approved learning management system for classroom use..
Statistics for Business and Economics (13e)
Simple Linear Regression
• Managerial decisions often are based on the relationship between two or
more variables.
• Regression analysis can be used to develop an equation showing how the
variables are related.
• The variable being predicted is called the dependent variable and is denoted
by y.
• The variables being used to predict the value of the dependent variable are
called the independent variables and are denoted by x.
© 2017 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or 3
otherwise on a password-protected website or school-approved learning management system for classroom use..
Statistics for Business and Economics (13e)
Simple Linear Regression
• Simple linear regression involves one independent variable and one
dependent variable.
• The relationship between the two variables is approximated by a
straight line.
• Regression analysis involving two or more independent variables is
called multiple regression.
© 2017 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or 4
otherwise on a password-protected website or school-approved learning management system for classroom use..
Statistics for Business and Economics (13e)
Simple Linear Regression Model
• The equation that describes how y is related to x and an error term is called
the regression model.
• The simple linear regression model is:
y = b + b x + e
0 1
where:
b and b are called parameters of the model.
0 1
e is a random variable called the error term.
© 2017 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or 5
otherwise on a password-protected website or school-approved learning management system for classroom use..
Statistics for Business and Economics (13e)
Simple Linear Regression Equation
• The simple linear regression equation is:
E(y) = 0 + 1x
• Graph of the regression equation is a straight line.
• b is the y intercept of the regression line.
0
• b is the slope of the regression line.
1
• E(y) is the expected value of y for a given x value.
© 2017 Cengage Learning. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part, except for use as permitted in a license distributed with a certain product or service or 6
otherwise on a password-protected website or school-approved learning management system for classroom use..
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